We will present recent improvements to our approach for diversity-based combinatorial library design (J. Med. Chem. 1995, 38, 1431). These include new templates and whole molecule descriptors, ``binned'' designs which sample groups from different predefined structural or property classes, and a faster (~ 2 orders of magnitude) multidimensional scaling algorithm. We will also present an approach for structure-based combinatorial library design and compare its practical use in lead discovery vs. lead optimization problems.
Joint work with Eric Martin, David Spellmeyer and Roger Critchlow.
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